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Single Molecule Protein Detection with Attomolar Sensitivity Using Droplet Digital Enzyme-Linked Immunosorbent Assay.
Cohen, Limor; Cui, Naiwen; Cai, Yamei; Garden, Padric M; Li, Xiang; Weitz, David A; Walt, David R.
Affiliation
  • Cohen L; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States.
  • Cui N; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
  • Cai Y; Department of Chemical Biology, Harvard University, Boston, Massachusetts 02115, United States.
  • Garden PM; School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.
  • Li X; School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.
  • Weitz DA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States.
  • Walt DR; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
ACS Nano ; 14(8): 9491-9501, 2020 08 25.
Article in En | MEDLINE | ID: mdl-32589401
Many proteins are present at low concentrations in biological samples, and therefore, techniques for ultrasensitive protein detection are necessary. To overcome challenges with sensitivity, the digital enzyme-linked immunosorbent assay (ELISA) was developed, which is 1000× more sensitive than conventional ELISA and allows sub-femtomolar protein detection. However, this sensitivity is still not sufficient to measure many proteins in various biological samples, thereby limiting our ability to detect and discover biomarkers. To overcome this limitation, we developed droplet digital ELISA (ddELISA), a simple approach for detecting low protein levels using digital ELISA and droplet microfluidics. ddELISA achieves maximal sensitivity by improving the sampling efficiency and counting more target molecules. ddELISA can detect proteins in the low attomolar range and is up to 25-fold more sensitive than digital ELISA using Single Molecule Arrays (Simoa), the current gold standard tool for ultrasensitive protein detection. Using ddELISA, we measured the LINE1/ORF1 protein, a potential cancer biomarker that has not been previously measured in serum. Additionally, due to the simplicity of our device design, ddELISA is promising for point-of-care applications. Thus, ddELISA will facilitate the discovery of biomarkers that have never been measured before for various clinical applications.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Nanotechnology Type of study: Diagnostic_studies Language: En Journal: ACS Nano Year: 2020 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Nanotechnology Type of study: Diagnostic_studies Language: En Journal: ACS Nano Year: 2020 Document type: Article Affiliation country: United States Country of publication: United States